Mad Dog Alpha is built for continuous research coverage. Users can track how the thesis changes over time, and review structured research notes as new events, valuation signals, and risks emerge. It is a Institutional workflow for retail investors. We rebuilds that workflow with AI: broader coverage, faster updates, and clearer decision framing.
Hi PH! I’m Deheng, founder of Mad Dog Alpha.
I built Mad Dog because most stock tools give you more data, more headlines, and more dashboards — but still don’t help with the hardest question: which events actually matter?
Mad Dog is built around event intelligence for underfollowed stocks. You enter a ticker, and it turns fragmented information into a structured research brief with event context, valuation, technical setup, risks, and catalysts.
During closed beta, the biggest shift was realizing this shouldn’t just be a one-off report generator. So I pushed it toward a real workflow: watchlists, history, saved reports, and a better way to revisit names over time.
I’d love feedback on:
whether the event analysis feels differentiated
whether the workflow feels worth paying for
what still feels broken or incomplete
Thanks for taking a look — excited to hear what you think.
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